Design of test scheme for wireless charging electric vehicle parking guidance system

Ke Wang; Lin Sang; Xiaoqiang Zhu

doi:10.1117/12.3015129

6 February 2024 Design of test scheme for wireless charging electric vehicle parking guidance system

Ke Wang, Lin Sang, Xiaoqiang Zhu

Proceedings Volume 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023); 129794P (2024) https://doi.org/10.1117/12.3015129
Event: 9th International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 2023, Guilin, China

Abstract

This paper aims to tackle the problem of lack of systematic test scheme for the parking guidance system of wireless charging Electric Vehicle (EV). Firstly, based on the kinematics theory, the kinematic model of slow motion was built. Then the arc-line tangent method was used to plan the parking process of electric vehicles facing parallel garages. The ideal locus envelope was plotted. Finally, the ideal path was planned, and static test points were selected for position awareness test. The rationality and feasibility of parking guidance were analyzed.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ke Wang, Lin Sang, and Xiaoqiang Zhu "Design of test scheme for wireless charging electric vehicle parking guidance system", Proc. SPIE 12979, Ninth International Conference on Energy Materials and Electrical Engineering (ICEMEE 2023), 129794P (6 February 2024); https://doi.org/10.1117/12.3015129

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available